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Keras Average Pooling 1D Layer

KNIME Deep Learning - Keras Integration version 4.2.1.v202008251157 by KNIME AG, Zurich, Switzerland

This layer applies average pooling in a single dimension. Corresponds to the Keras Average Pooling 1D Layer.

Options

Name prefix
The name prefix of the layer. The prefix is complemented by an index suffix to obtain a unique layer name. If this option is unchecked, the name prefix is derived from the layer type.
Strides
The step size of the pooling window in one dimension.
Pool size
The size of the pooling window in one dimension.
Padding
Different padding modes to apply to the spatial dimensions (excluding the batch and channel dimensions) of the inputs before the pooling operation. The padding will be done with zeroes. A detailed explanation of the different modes can be found here.
  • Valid: No padding
  • Same: Padding such that the spatial output dimension do not change.
  • Full: Padding with kernel size - 1

Input Ports

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The Keras deep learning network to which to add an Average Pooling 1D layer.

Output Ports

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The Keras deep learning network with an added Average Pooling 1D layer.

Installation

To use this node in KNIME, install KNIME Deep Learning - Keras Integration from the following update site:

KNIME 4.2

A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.

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